To analyze how the network structure relates to economic behavior, different notions and measures are used to capture an individual's importance, influence, or centrality in a network [1]}.
One of the most fascinating concept is that of structural holes, developed by [2]}, which refers to the absence of connections between groups and to the fact individuals might benefit from establishing links that fill voids and bridge gaps.
The versatility of this concept has stimulated the definition of several measures, each capturing different aspects in different applications [3]}, [4]}, [5]}.
However, this has also generated confusion when it comes to which exact measure has to be computed, how to compute it and what are the relations with similar measures [6]}, [7]}, [8]}.
Moreover, calculating these measures directly by applying the definition formulas can be very slow and computationally intensive, because it would require looping over each node's neighbors (and its neighbors' neighbors).
